2013—2017年夏季东北冷涡下东北地区MCS的统计特征

利用2013—2017年6—8月FY-2E和FY-2G地球静止卫星相当黑体温度（Black Body Temperature,TBB）资料、NCEP/NCAR再分析资料,对我国夏季东北冷涡下东北地区MCS的分布和活动特征进行了统计分析,结果表明：（1） MCS的活动具有明显的月际变化和日变化特征,6月对流活动最活跃。MCS的主要移向是东、东北和东南,平均移动距离3.99个经纬距。（2） MCS成熟时刻的面积、偏心率和生命史均小于江淮地区以及中国中东部,云顶高度低于江淮地区,整个生命史表现出发展快消亡慢的特征,与江淮地区相反。（3）基于MCS的定义得到的Z标准,对2016—2017年的MCS作了统计分析并与J标准统计得到的MCS进行对比,得出,两种定义下的MCS环境场特征基本一致,主要表现为MCS多生成于500 hPa槽前和槽后,对流层高层MCS位于双急流之间靠近北支急流的辐散区,南侧急流高度在200 hPa,北侧的急流高度在250 hPa。低层,位于低空急流左侧,低涡南侧、东南侧,有较强的水汽和动量输送。槽前生成的MCS南侧中层存在垂直反环流向MCS输送干暖空气与位涡,槽后生成的MCS两侧均有大值位涡向其输送,同时北侧冷干空气的输送使锋区及上升运动加强,更有利于MCS的形成。（4）两种标准下的MCS造成的降水明显不同,在统计强降水方面Z标准要优于J标准。由于Z标准空间与时间尺度较小,统计得到的MCS较多;但同时会遗漏部分相对弱的MCS。     

Evaluation of Agricultural Climatic Resource Utilization During Spring Maize Cultivation in Northeast China Under Climate Change

Agricultural climatic resources （such as light,temperature,and water） are environmental factors that affect crop productivity.Predicting the effects of climate change on agricultural climatic resource utilization can provide a theoretical basis for adapting agricultural practices and distributions of agricultural production.This study investigates these effects under the IPCC （Intergovernmental Panel on Climate Change） scenario A1B using daily data from the high-resolution RegCM3 （0.25° ×0.25°） during 1951-2100.Model outputs are adjusted using corrections derived from daily observational data taken at 101 meteorological stations in Northeast China between 1971 and 2000.Agricultural climatic suitability theory is used to assess demand for agricultural climatic resources in Northeast China during the cultivation of spring maize.Three indices,i.e.,an average resource suitability index （Isr）,an average efficacy suitability index （Ise）,and an average resource utilization index （K）,are defined to quantitatively evaluate the effects of climate change on climatic resource utilization between 1951 and 2100.These indices change significantly in both temporal and spatial dimensions in Northeast China under global warming.All three indices are projected to decrease in Liaoning Province from 1951 to 2100,with particularly sharp declines in Isr,Ise,and K after 2030,2021,and 2011,respectively.In Jilin and Heilongjiang provinces,Isr is projected to increase slightly after 2011,while Ise increases slightly and K decreases slightly after 2030.The spatial maxima of all three indices are projected to shift northeastward.Overall,warming of the climate in Northeast China is expected to negatively impact spring maize production,especially in Liaoning Province.Spring maize cultivation will likely need to shift northward and expand eastward to make efficient use of future agricultural climatic resources.     

20世纪90年代以来东北暴雨过程特征分析

使用1990～2005年全国730站日降水资料和NCEP格点分析资料对1990～2005年东北地区大暴雨过程进行了分类研究,探讨21世纪前后夏季东北暴雨的主要特征.按照东北地区日降雨量大于50 mm的站点数不少于5个的标准,统计出1990～2005年东北地区的69个暴雨个例(共90天).在统计的基础上,进一步对造成大范围暴雨过程的天气形势进行分类研究.考虑阻塞高压、热带、副热带系统和西风带之间的相互关系,将暴雨过程的主要影响系统大致分为6类:(1)台风与西风带系统(西风槽、东北低涡)的远距离相互作用(20个,28.9%);(2)登陆台风(或南来低涡)北上与西风带系统(西风槽、东北低涡)相互作用(16个,23.2%);(3)台风直接暴雨(1个,1.5%);(4)低槽冷锋暴雨(16个,23.2%);(5)低空切变型暴雨(2个,2.9%);(6)东北低涡暴雨(14个,20.3%).在所有个例中与台风有关的共有37个,超过一半,占总数53.6%.台风的远距离水汽输送或登陆台风北上与西风带系统相互作用是东北地区产生大暴雨或持续性大暴雨的重要环流条件.此外,东北低涡和西风槽前系统造成暴雨个例也比较多,也是东北地区大范围暴雨的重要影响系统,低槽冷锋暴雨和东北低涡暴雨也各分为4小类.低空切变暴雨的切变线一般在低层较为明显.上述分析表明,夏季东北地区暴雨过程种类繁多,情况较为复杂,且进入新世纪以来该区降雨过程较为活跃,值得深入研究.     

A Study on Water Vapor Transport and Budget of Heavy Rain in Northeast China

The characteristics of moisture transport and budget of widespread heavy rain and local heavy rain events in Northeast China are studied using the NCEP--NCAR reanalysis 6-hourly and daily data and daily precipitation data of 200 stations in Northeast China from 1961--2005. The results demonstrate that during periods with widespread heavy rain in Northeast China, the Asian monsoon is very active and the monsoonal northward moisture transport is strengthened significantly. The widespread heavy rainfall obtains enhanced water vapor supply from large regions where the water vapor mainly originates from the Asian monsoon areas, which include the East Asian subtropical monsoon area, the South China Sea, and the southeast and southwest tropical monsoon regions. There are several branches of monsoonal moisture current converging on East China and its coastal areas, where they are strengthened and then continue northward into Northeast China. Thus, the enhanced northward monsoonal moisture transport is the key to the widespread heavy rain in Northeast China. In contrast, local heavy rainfall in Northeast China derives water vapor from limited areas, transported by the westerlies. Local evaporation also plays an important role in the water vapor supply and local recycling process of moisture. In short, the widespread heavy rains of Northeast China are mainly caused by water vapor advection brought by the Asian monsoon, whereas local heavy rainfall is mainly caused by the convergence of the westerly wind field.     

北太平洋海平面气压场变化与海温的关系

利用SVD（singular value decomposition）方法分析了1948年1月—2002年12月北太平洋海平面气压场与海温的关系。结果表明,SVD第1对异类相关分布型反映出,当东北太平洋副热带高压加强（减弱）时,Namias海区海温升高（降低）,而加利福尼亚海流区海温降低（升高）。SVD第2对异类相关分布型表明,当阿留申低压加深、北太平洋副热带地区气压升高时,黑潮暖流区海温升高,而北太平洋高、低纬海温降低;反之亦然。时滞相关表明,北太平洋大气环流异常超前海温1个月的相关最好,海温变化对大气环流异常分布型具有维持作用。NCAR CCSM3模拟结果很好地验证了上述结论,即在海气相互作用过程中,东北太平洋副热带高压和NPO（North Pacific Oscillation）与北太平洋海温存在密切联系。     

东北地区城乡一体化进程评估

对东北区内部的沿海大城市地区、中部大城市地区和西部中等城市地区,分别选取大连、长春和白城作为调查对象,分析各典型城市地区的城乡一体化进程。主要以现状行政区划的市区代表城市地域,市区外围的县(县级市)和个别远郊区代表乡村地域,以乡镇为研究单元,采用综合指数法评价城乡一体化的进程。城乡一体化综合指数由经济发展水平、农村非农化水平、社会公平和福利、交通及日常联系等方面的相对指标构成,通过乡村各微观地域(乡镇、县)各项指标与中心城市的比值加权求和而得。综合指数计算并结合实地考察的初步结论是：各地区城乡联系逐步加强并趋于多样化,围绕中心城市的外围地域已经形成了包括高度一体化地域(一级)、中度一体化地域(二级)、初级一体化地域(三级)、传统农村地域(四级)在内的空间序列,其中大连地区4个级别的一体化地域序列完整,高度一体化地域已经形成并逐步扩大,城乡关系趋于逐步融合;长春地区缺失第一级,白城地区只有第三、四级,城乡二元结构仍然明显。     

青藏高原东部春季感热通量与我国东部气温的年际关系

利用ERA-Interim提供的地表感热、环流场资料和1979-2013年753站中国春季气温观测资料探讨了青藏高原（以下简称高原）东部春季感热通量与我国东部气温的关系。春季高原东部感热与我国东部气温在年际变化上存在密切的相关关系。去除9年滑动平均以后的SVD第一模态结果表明,当高原东部感热出现南弱（强）北强（弱）时,对应我国东北和华南地区的气温异常偏低（高）。当春季高原感热呈现南负北正的分布时,高层200 hPa上,高纬东风异常减弱背景西风有利于冷空气的南下,加之副热带西风急流显著增强,有利于东北地区形成气旋性环流。中低层环流场上,我国北方地区上空为一深厚的东北冷涡所控制,从对流层低层到高层,均呈现较强的气旋式环流分布。一方面,它引导西伯利亚冷空气南下,造成我国东北地区气压异常减弱,气温异常偏低;另一方面,其西侧北风异常阻滞了华南地区上空的背景西南风,不利于暖气流的输送。进一步分析得出,与PC1相关的南北温度差值场上,东亚地区上空从低纬到高纬呈现“负-正-负”的分布形势,有利于副热带西风急流在我国上空的显著增强。气旋中心上暖下冷的结构,导致位涡显著发展并向低层伸展、侵入,增强了对流层中低层的气旋性环流。气旋中心整个对流层为深厚的异常干空气,湿度负值中心与冷中心相对应,表明干冷空气异常下传发展。干侵入使得冷涡加强发展,维持了异常气旋性环流,导致春季东北、华南地区的异常降温。虽然前冬Nino3.4区海温与春季感热相关较好,但其对我国东部春季气温影响并不显著。     

1979-2016年我国东北地区空中水汽状况及变化趋势分析

水汽是形成云和降水的物质基础,与全球水分循环和能量平衡密切相关,对天气和气候具有重要影响。基于NCEP/NCAR月值再分析资料,综合分析我国东北地区上空不同高度层位比湿的气候学特征和长期趋势变化,同时分析了整层积分水汽通量的季节变化。结果表明：东北地区空中水汽集中分布于500 hPa以下,1979年至20世纪末低层比湿呈增加趋势,2000年后转为缓慢下降,但2012年以来波动回升。此外,东北地区比湿及水汽通量季节差异明显,夏季水汽含量最多,冬季最少,秋季多于春季;东北地区水汽含量最大值出现于7月,最低值出现在每年12月至次年1月。水汽来源受东亚季风系统影响明显,夏季水汽源地主要为南海,渤海和黄海对东北地区夏季水汽也有一定贡献;其他季节水汽主要来源于西风带输送。     

东北地区湿度梯度下的表土植硅体的空间分布规律

植硅体的现代过程研究是恢复古环境的基础,探讨表土植硅体分布及组合特征对环境因子的响应尤为重要。沿中国东北地区年均温为4 ℃等温线采集70块表土样品,研究了单一温度因素控制下表土植硅体的空间分布规律,以期获得不同类型植硅体对降水的响应。研究结果表明:所有表土样品中植硅体丰富且数量较多,主要有棒型、尖型、块状、扇型、扁平状、短鞍型、帽型、哑铃型、齿型、三棱柱型、导管型、硅质突起、硅化气孔、弓型和多面表皮植硅体;且主要以短细胞、棒型、尖型为主,其平均百分含量之和高达80.77%,块状、扁平状、扇型次之,其他类型的植硅体含量较少。方差分析结果表明:棒型、三棱柱型、硅质突起、哑铃型和扁平状在大兴安岭、松嫩平原和长白山之间存在显著性差异,且棒型、三棱柱型、硅质突起的百分含量与年降水量具有极显著的正相关性,哑铃型的百分含量与年降水量具有极显著的负相关性。总之,年均温为4 ℃等温线上70块表土样品中植硅体类型基本相同,但不同类型植硅体的百分含量存在差异,说明本研究区域内表土植硅体组合特征对降水的响应较为敏感。     

River flood seasonality in the Northeast United States: Characterization and trends

The New England and Mid‐Atlantic regions of the Northeast United States have experienced climate‐induced increases in both the magnitude and frequency of floods. However, a detailed understanding of flood seasonality across these regions, and how flood seasonality may have changed over the instrumental record, has not been established. The annual timing of river floods reflects the flood‐generating mechanisms operating in a basin, and many aquatic and riparian organisms are adapted to flood seasonality, as are human uses of river channels and flood plains. Changes in flood seasonality may indicate changes in flood‐generating mechanisms, and their interactions, with important implications for habitats, flood plain infrastructure, and human communities. I applied a probabilistic method for identifying flood seasons at a monthly resolution for 90 Northeast U.S. watersheds with natural, or near‐natural, flood‐generating conditions. Historical trends in flood seasonality were also investigated. Analyses were based on peaks‐over‐threshold flood records that have, on average, 85 years of data and three peaks per year—thus providing more information about flood seasonality than annual maximums. The results show rich detail about annual flood timing across the region with each site having a unique pattern of monthly flood occurrence. However, a much smaller number of dominant seasonal patterns emerged when contiguous flood‐rich months were classified into commonly recognized seasons (e.g., Mar–May, spring). The dominant seasonal patterns identified by manual classification were corroborated by unsupervised classification methods (i.e., cluster analyses). Trend analyses indicated that the annual timing of flood‐rich seasons has generally not shifted over the period of record, but 65 sites with data from 1941 to 2013 revealed increased numbers of June–October floods—a trend driving previously documented increases in Northeast U.S. flood counts per year. These months have been historically flood‐poor at the sites examined, so warm‐season flood potential has increased with possible implications for aquatic and riparian organisms.